Ini adalah flexdashboard yang menampilkan analisis nutrisi pada menu restaurant fast food

The happiness scores and rankings use data from the Gallup World Poll . The columns following the happiness score estimate the extent to which each of six factors – economic production, social support, life expectancy, freedom, absence of corruption, and generosity. Source: https://www.kaggle.com/datasets/ajaypalsinghlo/world-happiness-report-2021/data

In June 2013, Calgary experienced extreme flooding, displacing 100,000 people and causing $1.7 billion in damages. This project aims to develop a predictive model to help Calgary and similar cities better prepare for such events. By analyzing predictors like elevation, land cover, slope, distance to water, and water flow accumulation, the model helps identify areas at risk of flooding beyond just riverine zones. The model's results aid in early action and planning, assisting decision-makers and the public in identifying areas needing evacuation, buyouts, or building code revisions. Using data from the 2013 Calgary flood, we also applied the model to predict flood risks in Denver, a city with similar geographic characteristics. This project was completed as part of the Land Use and Environmental Modeling course (CPLN 6750 / MUSA 6750) at the University of Pennsylvania. It demonstrates the application of spatial data and empirical models to support decision-making in urban planning and disaster preparedness.

Ce document contient une presentation sur les bases de données NoSQL du type Key-value avec pour logiciel d'application : Redis

NASA's Rodent Research (RR) project is playing a critical role in advancing biomedical research on the physiological effects of space environments. Due to the limited resources for conducting biological experiments aboard the International Space Station (ISS), it is imperative to use crew time efficiently while maximizing high-quality science return. NASA's GeneLab project has as its primary objectives to 1) further increase the value of these experiments using a multi-omics, systems biology-based approach, and 2) disseminate these data without restrictions to the scientific community. The current investigation assessed viability of RNA, DNA, and protein extracted from archived RR-1 tissue samples for epigenomic, transcriptomic, and proteomic assays. During the first RR spaceflight experiment, a variety of tissue types were harvested from subjects, snap-frozen or RNAlater-preserved, and then stored at least a year at -80C after return to Earth. They were then prioritized for this investigation based on likelihood of significant scientific value for spaceflight research. All tissues were made available to GeneLab through the bio-specimen sharing program managed by the Ames Life Science Data Archive and included mouse adrenal glands, quadriceps, gastrocnemius, tibialis anterior, extensor digitorum longus, soleus, eye, and kidney. We report here protocols for and results of these tissue extractions, and thus, the feasibility and value of these kinds of omics analyses. In addition to providing additional opportunities for investigation of spaceflight effects on the mouse transcriptome and proteome in new kinds of tissues, our results may also be of value to program managers for the prioritization of ISS crew time for rodent research activities.